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Experience in AWS components including: Lambda, Kinesis/Firehose, Airflow, Glue,Spark, EC2, SageMaker, S3, NoSQL database and API Gateway. Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark. Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark.
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Experience with AWS services such as EKS, MKS, AirFlow, RedShift, Glue, EMR and S3. Experience in building robust data pipelines, ETL and data processing using Spark; Building and scaling the distributed infrastructure of Amazon's EMR platform; SQL and multiple programming languages to optimize data processes and retrieval.
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Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue). Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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O Utilize your expertise in Apache Flink/ Apache Spark to develop real-time data processing pipelines, ensuring low-latency and high-throughput data streaming. You will lead a team of skilled engineers, collaborate across departments, and leverage your proficiency in Python, AWS and Apache Spark to deliver high-performance data solutions that drive insights and innovation.
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Data engineering experience with SQL, Spark or AWS Glue. Experience using Docker or Kubernetes to deploy containerized applications. A strong understanding of AWS cloud technologies such as S3, EC2, RDS, etc.
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2+ years of recent experience with building and deploying applications in AWS (S3, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR, Cloudwatch, RDS, Lambda, SQS, SNS, StepFunctions, ElasticBeanStalk) for building, deploying and operating applications.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies.
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Experience with AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift. Extensive experience working with RDBMS, Spark, Hadoop, Kafka.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our primary tech stack consists of Golang, Kubernetes, Kafka, Elasticsearch, and GraphQL, but we also use tools like S3, ScyllaDB, Redis, SQS and many other AWS services. Experience with big data technologies such as Apache Kafka, Spark, Hadoop, or similar systems.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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5+ years using Apache Tomcat, Apache Spark, Hadoop, SOLR, JDBC, ANT, Active Directory, LDAP, Regex, SQL, JSON, and others. 5+ years working in an AWS cloud environment utilizing SMS, Data Pipeline Relational Database (RDS), Cloudwatch, EC2, EBS, S3, KMS or similar tools.
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Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. Demonstrated five years of experience with the following: Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), CloudWatch, EC2, EBS, S3, KMS, or SMS.
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In addition, our Life Balance program provides access to professional counseling services, life coaching and other resources to support your daily life needs. Current deep experience with AWS, APIs, accelerators, DevSecOps.
$135,700 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticSearch.
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